{"data":{"slug":"kubeflow-kubeflow","name":"kubeflow","tagline":"Machine Learning Toolkit for Kubernetes","github_url":"https://github.com/kubeflow/kubeflow","owner":"kubeflow","repo":"kubeflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/33164907?v=4","primary_language":null,"stars":15770,"forks":2685,"topics":["google-kubernetes-engine","jupyter","kubeflow","kubernetes","machine-learning","minikube","ml","notebook","tensorflow"],"archived":false,"github_pushed_at":"2026-07-10T11:31:26+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/kubeflow-kubeflow","markdown_url":"https://www.graphcanon.com/tools/kubeflow-kubeflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kubeflow-kubeflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kubeflow-kubeflow","description":"Machine Learning Toolkit for Kubernetes","homepage_url":"https://www.kubeflow.org/","license":"Apache-2.0","open_issues":0,"watchers":362,"ai_summary":null,"readme_excerpt":"# Kubeflow\n\n\n\n<img src=\"./logo/stacked.svg\" width=\"120\">\n\n## What is Kubeflow\n\n[Kubeflow](https://www.kubeflow.org/) is the foundation of tools for AI Platforms on Kubernetes.\n\nAI platform teams can build on top of Kubeflow by using each subproject independently or deploying\nthe entire Kubeflow Community Distribution to meet their specific needs.\nThe Kubeflow Community Distribution is composable, modular, portable, and scalable, backed by an\necosystem of Kubernetes-native projects that cover every stage of\n[the AI lifecycle](https://www.kubeflow.org/docs/started/architecture/#kubeflow-projects-in-the-ai-lifecycle).\n\nWhether you’re an AI practitioner, a platform administrator, or a team of developers,\nKubeflow offers modular, scalable, and extensible tools to support your AI use cases.\n\nKubeflow consists of Kubeflow Subprojects, Kubeflow Ecosystem, Kubeflow Packaged Distribution,\nand Kubeflow Community Distribution.\n\nCheck out [the official documentation](https://www.kubeflow.org/docs/started/introduction/) for\nmore detailed information.\n\n## Repository Role\n\nThis repository serves primarily as a gateway to Kubeflow subprojects and shared project metadata.\nKubeflow development happens in the individual subproject repositories.\n\n## Kubeflow Community\n\nKubeflow is a community-led project maintained by the\n[Kubeflow Working Groups](https://www.kubeflow.org/docs/about/governance/#4-working-groups)\nunder the guidance of the\n[Kubeflow Outreach Committee](https://www.kubeflow.org/docs/about/governance/#3-kubeflow-outreach-committee),\n[Kubeflow Distribution Committee](https://www.kubeflow.org/docs/about/governance/#4-kubeflow-distribution-committee),\nand [Kubeflow Steering Committee](https://www.kubeflow.org/docs/about/governance/#2-kubeflow-steering-committee-ksc).\n\nWe encourage you to learn about the [Kubeflow Community](https://www.kubeflow.org/docs/about/community/)\nand how to [contribute](https://www.kubeflow.org/docs/about/contributing/) to the project!","github_created_at":"2017-11-30T18:44:19+00:00","created_at":"2026-07-11T23:28:52.477613+00:00","updated_at":"2026-07-11T23:29:16.163873+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"inference-serving","name":"Inference & 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